The convergence of graph theory, social network analysis and multimedia data mining has emerged as a vibrant interdisciplinary field. Graph models provide a structured representation of interactions ...

The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.

Triangle counting stands as a fundamental task in graph theory and network science, offering critical insights into the structural properties of complex systems. By enumerating all sets of three ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management. The field has evolved to ...

The field of graph drawing and crossing numbers occupies a pivotal position at the intersection of computational geometry and network visualisation. Researchers in this domain strive to develop ...

The Nature Index 2024 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into distinct ...

Graph labeling is a central topic in combinatorial optimisation that involves assigning numerical or categorical labels to vertices or edges of a graph subject to specific constraints. This framework ...

Graph algorithms and network analysis form the backbone of modern computational techniques used to decode the complex structures and dynamic behaviours exhibited by diverse real-world networks. From ...